Model comparison
GPT-5-Codex vs Ministral 3B
GPT-5-Codex is the stronger model overall, scoring 37.9 to 26.2 on the Noometry Index. Ministral 3B costs 34× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 18.4.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 131K.
- Ministral 3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Ministral 3B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.9 | 26.2 |
| Released | 2025-09-15 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 262K |
| Input $ / M tokens | $1.25 | $0.10 |
| Output $ / M tokens | $10 | $0.10 |
| Results tracked | 3 | 6 |
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Category by category
Coding Not comparable
GPT-5-Codex: 42.4 (#103), Ministral 3B: —
| Benchmark | GPT-5-Codex | Ministral 3B |
|---|---|---|
| WeirdML | 54.5% | — |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Ministral 3B: —
| Benchmark | GPT-5-Codex | Ministral 3B |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Ministral 3B: 18.4 (#282)
| Benchmark | GPT-5-Codex | Ministral 3B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
| Epoch Capabilities Index | — | 118.1 |
Math Not comparable
GPT-5-Codex: —, Ministral 3B: 26.6 (#258)
| Benchmark | GPT-5-Codex | Ministral 3B |
|---|---|---|
| MATH Level 5 | — | 14.4% |
Knowledge Not comparable
GPT-5-Codex: —, Ministral 3B: 10.4 (#302)
| Benchmark | GPT-5-Codex | Ministral 3B |
|---|---|---|
| GPQA Diamond | — | 25.3% |
| Vectara Hallucination Rate | — | 7.3% |
Frequently asked questions
Is GPT-5-Codex better than Ministral 3B?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 26.2 on the Noometry Index. Ministral 3B costs 34× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5-Codex or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5-Codex and Ministral 3B share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Ministral 3B has 6.